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Data And Analytics Manager Jobs (NOW HIRING)

ZipLiens

Data & Analytics Manager (Hybrid)

Franklin, TN · On-site

$122K - $165K/yr

Zipliens is looking for a Data & Analytics Manager to join our team, building the data foundation that powers the next generation of applications and analytics for the legal industry. After several ...

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How much do data and analytics manager jobs pay per year?

As of Jun 29, 2026, the average yearly pay for data and analytics manager in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data and Analytics Manager, and why are they important?

To thrive as a Data and Analytics Manager, you need expertise in data analysis, statistical modeling, and business intelligence, often supported by a degree in a quantitative field and experience in data management. Proficiency with tools like SQL, Python, Tableau, and data warehousing systems, as well as relevant certifications such as Certified Analytics Professional (CAP), is highly valuable. Strong leadership, communication, and problem-solving skills set top performers apart by enabling them to translate complex data insights into actionable business strategies. These skills are crucial for driving data-informed decision-making and maximizing organizational value from analytics initiatives.

What are some common challenges faced by Data and Analytics Managers when implementing data-driven initiatives in organizations?

Data and Analytics Managers often encounter challenges such as integrating data from disparate sources, ensuring data quality and governance, and aligning data strategies with business goals. They must also navigate organizational resistance to change, educate stakeholders on the value of analytics, and stay updated on rapidly evolving technologies. Successfully overcoming these challenges requires strong communication, project management skills, and a proactive approach to stakeholder engagement.

What are Data and Analytics Managers?

Data and Analytics Managers are professionals responsible for overseeing an organization's data strategy, including data collection, storage, analysis, and reporting. They manage teams of data analysts and data scientists, ensuring data quality and developing insights that inform business decisions. Their role often involves collaborating with other departments to identify data needs, selecting appropriate tools and technologies, and ensuring compliance with data governance policies. Data and Analytics Managers play a crucial role in helping companies leverage data to drive growth and efficiency.
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Infographic showing various Data And Analytics Manager job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 90% Full Time, 2% Part Time, and 7% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.
Data & Analytics Manager (Hybrid)

Data & Analytics Manager (Hybrid)

ZipLiens

Franklin, TN • On-site

$122K - $165K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

Zipliens is looking for a Data & Analytics Manager to join our team, building the data foundation that powers the next generation of applications and analytics for the legal industry. After several years of high growth, Zipliens has become a leader in lien resolution, a process required in most personal injury settlements. The software we build supports the lien resolution work we perform on behalf of law firms, helping them operate more efficiently while ultimately enabling the injured parties they service to access settlement funds more quickly and completely - giving our work a clear, real-world impact beyond the technical challenges.
The Data & Analytics Manager will lead the foundational data work powering our Mass Torts and Single Event Operations teams, and to set the stage for broader business intelligence and AI/ML capabilities across the company. You'll spend most of your time hands-on: building the pipelines that bring data together from across our source systems, designing the data warehouse and models that make that data usable, and developing the quality frameworks that keep what the business relies on accurate and complete. You'll partner closely with Operations to translate their evolving data needs into reliable assets, while building and leading the data team as it grows.
Requirements
Responsibilities:
Data Foundation & Quality

  • Design and build the data models, structure, and architecture needed to support Operations workflows and future analytics use cases.
  • Develop and maintain data quality frameworks - validation, testing, and monitoring - so the data the business relies on is accurate and trusted.
  • Own decisions about data tooling, modeling approaches, and how the data is organized over time.
Operations Partnership
  • Partner closely with our Mass Torts and Single Event Operations teams to understand their data needs and translate them into well-structured, reliable data assets.
  • Support Operations in gathering, quality-checking, and delivering data files to outside vendors and clients.
  • Surface data gaps, inefficiencies, and opportunities through ongoing collaboration with operational stakeholders.
Team Leadership
  • Manage and develop a small team, beginning with one direct report and expected to grow to as many as five (5) over the next year.
  • Set biweekly and quarterly priorities that align with the company's broader data goals.
  • Establish standards for quality, documentation, and consistency across the team's work.
  • Own hiring, onboarding, and performance management as the team grows.
Cross-Functional Support
  • Support leadership and internal departments by making clean, well-organized data accessible for reporting and analysis.
  • Lay the groundwork for downstream business intelligence and AI/ML capabilities by ensuring data is structured to support those use cases as the company evolves.
Qualifications:
  • 5+ years in a data engineering or analytics engineering role, with hands-on experience building data pipelines, models, and warehouses.
  • 2+ years formally managing or leading others, with comfort owning hiring, performance, and development decisions.
  • Strong SQL skills and direct experience with modern cloud data warehouse platforms (Snowflake, BigQuery, Redshift, or similar).
  • Working knowledge of ETL/ELT processes and modern transformation tooling (e.g., dbt).
  • Demonstrated ability to translate business needs into well-modeled, durable data assets.
  • Strong communication skills and a track record of partnering effectively with non-technical stakeholders.
Nice to Have
  • Experience supporting operational data flows in regulated or services-heavy industries (legal, healthcare, financial services).
  • Familiarity with BI tooling (Tableau, Power BI, Looker) and how data infrastructure supports the BI layer.
  • Exposure to data science workflows - enough to support future data science hires and use cases.
Benefits
  • Private Health Care Plan (Medical, Dental & Vision)
  • Company HSA contributions for HDHP participants
  • Flexible Spending Accounts (Health & Dependent Care)
  • Company-Paid Short-Term Disability Coverage
  • Voluntary Long-Term Disability, Life, AD&D, and Supplemental Coverage Options
  • 401(k) Plan with Company Match
  • Paid Time Off (Vacation, Sick Time & Select Holidays)
  • Paid Parental Leave

Pay Disclosure: The total base salary range for this role is $122,000 - $165,000 annually, with opportunity for a discretionary bonus. Final compensation will be determined based on skills and experience.
Work Authorization: Applicants must be authorized to work in the United States without the need for employer-sponsored visa support now or in the future.

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